基于DBSCAN算法的Geolife人员位置分析
Mining Geolife people position based on DBSCAN algorithm
随着GPS服务设备和GPS数据集的增长，基于GPS数据的数据分析成为了一个研究热点。本文通过实验调整DBSACAN的聚类半径对微软亚洲研究院的Geolife项目中的用户GPS数据进行聚类，分析出用户常处的位置。数据分析结果表明，使用调整的聚类半径，可以分析出用户常处位置。本方法可以为用户运动特征分析和用户运动数据预测提供良好的基础。
With a growth of GPS service equipment and GPS datasets , data analysis based on GPS data has been become a hot topic of current research. In this paper, Geolife project's GPS data was experimented through DBSCAN clustering algorithm, and be analyzed to find the standing position of the user. Data analysis showed that,using adjustment clustering radius , the position where people always stay can be found. This method provide a good foundation to analyze movement characteristics and predict people movement.
姜小荣、陈伟、唐志博
计算技术、计算机技术遥感技术
位置分析BSCANGeolife数据
position analysisDBSCANGeolife data
姜小荣,陈伟,唐志博.基于DBSCAN算法的Geolife人员位置分析[EB/OL].(2014-04-02)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/201404-27.点此复制
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